llava : support v1.6 (#5267)

* Create llava-survery-v2.py

* Update convert-image-encoder-to-gguf.py

* Update convert-image-encoder-to-gguf.py

* Rename llava-survery-v2.py to llava-surgery-v2.py

* Update convert-image-encoder-to-gguf.py

will now search for projector

* Update convert-image-encoder-to-gguf.py

whoops

* Update llava-surgery-v2.py

* Clip: Bugfix for normalization (it did not loat the 3 std and mean values)
Clip: bicubic resize function
Clip: added save-to-bmp/pil for debugging and conversion from/to 32/8 images
Clip: added normalization with FP16 precision simulation (image tensors match HF implementation, can be switched off, only used for llava-1.6)
Clip: added newline tensor, mergetype kv, image-grid kv, new resize-pad function with resolution from gridpoints
Clip: clip_image_preprocess now returns a float * vector instead of float, this way llava 1.5 and 1.6 is supported
llava: added ggml cpu graph for embedding patching, added spatial_unpad preliminary support, added a lot of comments that need to be cleaned when all is final
convert-image-encoder: fixed image-grid flattening

* whitespace corrections

* ws

* Tensors are now properly permuted.
Before the embeddings were inserted 1:1, now they are split into the 24x24 patches as in reference.

* ws

* added verbose_prompt support into cli
added stopwords for llava-1.6 into cli

* moved llava functions to llava.cpp, made clip.h C compatible API, replaced vector style functions with pointers, added a debug define to remove functions from compilation while not needed

* ws

* convert : skip unknown tensors (need for LLaVA)

* llava : update readme

* llava : fix compile warnings

* llava : style

* convert : add --skip-unknown CLI arg

* server : remove clip structs

* bugfix for non llava-1.6

It should now work with llava-1.5 as well

* clip : minor code rearrange

* llava : update readme a bit

---------

Co-authored-by: John <cmt-nct@users.noreply.github.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

examples/llava/README.md

@@ -19,9 +19,9 @@ After building, run: `./llava-cli` to see the usage. For example:
 
 **note**: A lower temperature like 0.1 is recommended for better quality. add `--temp 0.1` to the command to do so.
 
-## Model conversion
+## LLaVA 1.5
 
-- Clone `llava-v15-7b` and `clip-vit-large-patch14-336` locally:
+- Clone a LLaVA and a CLIP model ([available options](https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md)). For example:
 
 ```sh
 git clone https://huggingface.co/liuhaotian/llava-v1.5-7b
@@ -55,8 +55,14 @@ python ./convert.py ../llava-v1.5-7b
 
 Now both the LLaMA part and the image encoder is in the `llava-v1.5-7b` directory.
 
+## LLaVA 1.6
+
+- Use `llava-surgery-v2.py`
+
+- TODO: add detailed instructions
+
 ## TODO
 
-- [ ] Support non-CPU backend for the image encoding part.
+- [x] Support non-CPU backend for the image encoding part.
 - [ ] Support different sampling methods.
 - [ ] Support more model variants.